Virtual Dimensional Product Validation by Integration of Simulations
The process of virtual validation of product function has an important role in product development. It enables the product developer to design products taking different aspects like Design to Quality into account. Reliable results of simulations can only be obtained if appropriate assumptions for the model exist. Therefore the aim of this contribution is to suggest an approach to estimate input parameters of computer aided tolerancing simulations (CAT). For this purpose stochastic manufacturing process analysis is performed. Based on an analysis of the dimensional modelling process and an overview of tolerance analysis techniques, a concept for estimation of simulation assumptions for CAT is systematically derived. The identification of pivotal model parameters in tolerance analysis and the integration of results of a manufacturing process simulation are outlined. Based on simulations of an example application the manufacturing simulation parameters and the resulting process variations for use in tolerance analysis are described. Finally the impact of these parameters on dimensional quality measures is discussed. To conclude, an outlook on further integration of processes is given.